Ken Beath

1.2k citations
24 papers · 779 indexed · h-index 13

Impact in

Papers in

    • Breast Implant and Reconstruction 5
    • Reconstructive Surgery and Microvascular Techniques 3
    • Statistical Methods and Bayesian Inference 4
    • Advanced Statistical Methods and Models 3

Ken Beath

23 papers receiving 749 citations

Peers

Ken Beath
Comparison fields: 5 of 116
  • Cancer Research 241
  • Sensory Systems 73
  • Speech and Hearing 72
  • Surgery 397
  • Pathology and Forensic Medicine 121
Replace Ulf Flodin with:
Ulf Flodin Sweden
Il‐Seok Park South Korea
Shekhar K. Gadkaree United States
Fang Qian United States
Vincent Daïen France
Erdoğan Okur Türkiye
Christian Emil Faber Denmark
Attila Óvári Germany
Kathleen A. Murray United States
Firas Alzoubi Jordan
Ken Beath relative to Ulf Flodin Sweden Ulf Flodin's profile →
Citations per field
00.5×10×16.5×
Ulf Flodin · 1×
Citations per year

Countries citing papers authored by Ken Beath

Since Specialization
Citations

This map shows the geographic impact of Ken Beath's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ken Beath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Beath more than expected).

Fields of papers citing papers by Ken Beath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Beath. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ken Beath. The network helps show where Ken Beath may publish in the future.

Co-authors

The 25 scholars most cited alongside Ken Beath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken Beath Line = papers co-authored together Ken Beath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017251
2 2010120
3 201994
4 200645
5 201338
6 201937
7 201431
8 201427
9 201622
10 201722
11 201614
12 201913
13 201812
14 201111
15 201611
16 20097
17 19915
18 20125
19 20204
20 20163

About Ken Beath

Ken Beath is a scholar working on Surgery, Statistics and Probability, Clinical Psychology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 24 papers that have together received 779 indexed citations. Recurring topics across this work include Breast Implant and Reconstruction (5 papers), Statistical Methods and Bayesian Inference (4 papers), Breast Cancer Treatment Studies (3 papers), Advanced Statistical Methods and Models (3 papers), Reconstructive Surgery and Microvascular Techniques (3 papers), Respiratory Support and Mechanisms (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Cancer Research (241 citations), Sensory Systems (73 citations), Speech and Hearing (72 citations), Surgery (397 citations) and Pathology and Forensic Medicine (121 citations). Ken Beath has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Anand K. Deva, Mark Magnusson, H. Miles Prince, Rodney D. Cooter, Michelle Locke, Roger Engel, Karen Vickery, Subramanyam Vemulpad, Robert John William Knight and Ingrid Hopper. Their work appears in journals such as Plastic & Reconstructive Surgery, Journal of Manipulative and Physiological Therapeutics, Statistics in Medicine, Aesthetic Surgery Journal and Radiotherapy and Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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